nach oben

Erschienen in:

2023 | OriginalPaper | Buchkapitel

3. QoS Aware Service Provisioning and Resource Distribution in 4G/5G Heterogeneous Networks

verfasst von : Rintu Nath

Erschienen in: Deep Learning Technologies for the Sustainable Development Goals

Verlag: Springer Nature Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The Fourth Generation (4G) wireless communication network is widely implemented with standardized framework of operation and QoS constraints. Emergence of enhanced mobile broadband (eMBB) and user demand for ultra-reliable and low latency communication, research interests are now shifted to the Fifth Generation (5G) network. With rapid increase in number of mobile devices and associated user’s demand of diverse services, the 5G network is expected to improve overall spectrum efficiency. However, latency, energy efficiency, QoS, throughput, are some of the challenges to be addressed for a reliable network. The chapter discusses congestion control algorithms and delay bounded QoS provisioning framework. This QoS provisioning can be deployed in LTE 4G and 5G network with differential baud rate and fading parameters. Hybrid scheduling with QoS class identifier is discussed for LTE access network.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Deep Technologies Using Big Data in: Energy and Waste Management

Nächstes Kapitel Leveraging Fog Computing for Healthcare

Sharma, T., Chehri, A., Fortier, P.: Review of optical and wireless backhaul networks and emerging trends of next generation 5G and 6G technologies. Trans. Emerg. Telecommun. Technol. 32(3), 1–16 (2021). https://doi.org/10.1002/ett.4155CrossRef

Abdalla, I., Venkatesan, S.: A QoE preserving M2M-aware hybrid scheduler for LTE uplink. In: International Conference on Selected Topics in Mobile and Wireless Networking (MoWNeT), vol. 7, pp. 127–132 (2013). https://doi.org/10.1109/MoWNet.2013.6613808

Akhtar, T., Tselios, C., Politis, I.: Radio resource management: approaches and implementations from 4G to 5G and beyond. 27(1) (2021)

Tang, J., Zhang, X.: Quality-of-service driven power and rate adaptation for multichannel communications over wireless links. IEEE Trans. Wirel. Commun. 6(12), 4349–4360 (2007). https://doi.org/10.1109/TWC.2007.06031CrossRef

Inaba, T., Sakamoto, S., Oda, T., Barolli, L., Takizawa, M.: A new FACS for cellular wireless networks considering QoS: a comparison study of FuzzyC with MATLAB. In: Proceedings of the 18th International Conference on Network-Based Information Systems. NBiS 2015, pp. 338–344 (2015). https://doi.org/10.1109/NBiS.2015.52

Beshley, M., Kryvinska, N., Seliuchenko, M., Beshley, H., Shakshuki, E.M., Yasar, A.U.H.: End-to-end QoS ‘Smart Queue’ management algorithms and traffic prioritization mechanisms for narrow-band internet of things services in 4G/5G networks. Sensors (Switzerland) 20(8) (2020). https://doi.org/10.3390/s20082324

Haile, H., Grinnemo, K.J., Ferlin, S., Hurtig, P., Brunstrom, A.: End-to-end congestion control approaches for high throughput and low delay in 4G/5G cellular networks. Comput. Networks 186, 107692 (2021). https://doi.org/10.1016/j.comnet.2020.107692

Beshay, J.D., Nasrabadi, A.T., Prakash, R., Francini, A.: Link-coupled TCP for 5G networks. In: IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) (2017). https://doi.org/10.1109/IWQoS.2017.7969170

Zhu, G., Zan, J., Yang, Y., Qi, X.: A supervised learning based QoS assurance architecture for 5G networks. IEEE Access 7, 43598–43606 (2019). https://doi.org/10.1109/ACCESS.2019.2907142

10.

Park, S., Lee, J., Kim, J., Lee, J., Lee, K.: ExLL: an extremely low-latency congestion control for mobile cellular networks. In: CoNEXT 2020: Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies, pp. 307–319 (2020)

11.

Zhang, X., Wang, J., Poor, H.V.: Heterogeneous statistical-QoS driven resource allocation over mmWave massive-MIMO based 5G mobile wireless networks in the non-asymptotic regime. IEEE J. Sel. Areas Commun. 37(12), 2727–2743 (2019). https://doi.org/10.1109/JSAC.2019.2947941CrossRef

12.

Xie, Y., Yi, F., Jamieson, K.: PBE-CC: congestion control via endpoint-centric, physical-layer bandwidth measurements. In: SIGCOMM 2020: Proceedings of the Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, pp. 451–464 (2020). https://doi.org/10.1145/3387514.3405880

13.

14.

Chen, J., et al.: SDATP: an SDN-based traffic-adaptive and service-oriented transmission protocol. IEEE Trans. Cogn. Commun. Netw. 6(2), 756–770 (2020). https://doi.org/10.1109/TCCN.2019.2963149CrossRef

15.

16.

Ahmad, W.S.H.M.W., et al.: 5G technology: towards dynamic spectrum sharing using cognitive radio networks. IEEE Access 8, 14460–14488 (2020). https://doi.org/10.1109/ACCESS.2020.2966271CrossRef

17.

Abbasloo, S., Li, T., Xu, Y., Chao, H.J.: Cellular controlled delay TCP (C2TCP). In: IFIP Networking Conference (IFIP Networking) and Workshops, pp 118–126 (2018). https://doi.org/10.23919/IFIPNetworking.2018.8696844

18.

Azzino, T., Drago, M., Polese, M., Zanella, A., Zorzi, M.: X-TCP: a cross layer approach for TCP uplink flows in mmwave networks. In: 16th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net), pp. 1–6 (2017). https://doi.org/10.1109/MedHocNet.2017.8001650

19.

Na, W., Bae, B., Cho, S., Kim, N.: DL-TCP: deep learning-based transmission control protocol for disaster 5G mmWave networks. IEEE Access 7, 145134–145144 (2019). https://doi.org/10.1109/ACCESS.2019.2945582CrossRef

20.

Jiang, H., Wang, Y., Lee, K., Rhee, I.: DRWA: a receiver-centric solution to bufferbloat in cellular networks. IEEE Trans. Mob. Comput. 15(11), 2719–2734 (2016). https://doi.org/10.1109/TMC.2015.2510641CrossRef

21.

Lu, F., Du, H., Jain, A., Voelker, G.M., Snoeren, A.C., Terzis, A.: CQIC: revisiting cross-layer congestion control for cellular networks. In: HotMobile 2015: Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications, pp. 45–50 (2015). https://doi.org/10.1145/2699343.2699345

22.

Li, W., Zhou, F., Chowdhury, K.R., Meleis, W.M.: QTCP: adaptive congestion control with reinforcement learning. IEEE Trans. Netw. Sci. Eng. 4697, 1–13 (2018). https://doi.org/10.1109/TNSE.2018.2835758

23.

Zhong, Z., Hamchaoui, I., Ferrieux, A., Khatoun, R., Serhrouchni, A.: CDBE: a cooperative way to improve end-to-end congestion control in mobile network. In: International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), vol. 2018, pp. 216–223 (2018). https://doi.org/10.1109/WiMOB.2018.8589175

Titel: QoS Aware Service Provisioning and Resource Distribution in 4G/5G Heterogeneous Networks
verfasst von: Rintu Nath
Verlag: Springer Nature Singapore
Buch: Deep Learning Technologies for the Sustainable Development Goals
Print ISBN: 978-981-19-5722-2

Electronic ISBN: 978-981-19-5723-9

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-19-5723-9_3

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner